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Artificialintelligence enhances data security by identifying risks and protecting sensitive cloud data, helping organizations stay ahead of evolving threats. Artificialintelligence (AI) is transforming industries and redefining how organizations protect their data in todays fast-paced digital world.
Advancements in ArtificialIntelligence (AI) and Machine Learning (ML) have lowered the barrier of entry for non-security users to independently develop and manage their own data products, which when decentralised to enable separate cross domain data analysis is known as ‘data mesh’.
The global race for ArtificialIntelligence (AI) is on. 2018 was a landmark year for AI in Europe with the ‘Declaration of Cooperation on ArtificialIntelligence’ signed by EU members states, Norway and Switzerland. Yet in the face of a pandemic, fractures among states have appeared to only be widening. What is at stake?
With the increase in the complexity of IT infrastructures and the various ways of storing data, safeguarding against data leaks has become more resource-intensive. Data access control raises many questions not only among users but sometimes also among security professionals. Who is the protentional customer of such solutions?
This limitation on the alerts also limits the visibility for the security team and constrains the ability of modern artificialintelligence (AI) and machine learning (ML) tools to learn and recognize potentially malicious behavior. What is a Security Data Lake?
This data is often invisible to security teams, making it difficult to track, classify, and secure. How Zscaler helps Zscaler DSPM scans cloud data repositories to discover structured and unstructureddata stores to give a clear view of the data landscape, inventory, and security posture.
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